KR101427671B1 - Method for aerobic exercise simulation to burn fat - Google Patents

Abstract

The present invention relates to a method for maintaining aerobic exercise for promoting fat burning, and more particularly, to an anaerobic threshold point that distinguishes between aerobic exercise and anaerobic exercise, The method of calculating the heart rate at the anaerobic threshold value point.
In addition, the present invention relates to a method for realizing aerobic exercise by measuring a heart rate in real time and displaying a notification sound or a warning message when a measured heart rate exceeds a set heart rate.
According to the present invention, by calculating the oxygen-free threshold value of the user and calculating the heart rate at the oxygen-free threshold value point, it is possible to perform the fat burning efficiently when the user exercises continuously at the exercise intensity lower than the anaerobic threshold value.

Description

[0001] The present invention relates to a method for maintaining aerobic exercise for promoting fat burning,

The present invention relates to a method for maintaining aerobic exercise for promoting fat burning, and more particularly, to an anaerobic threshold point that distinguishes between aerobic exercise and anaerobic exercise, and an anaerobic threshold (AT) The present invention relates to a method for calculating heart rate at an anaerobic threshold value since fat is burned efficiently when exercising continuously with exercise intensity.

In addition, the present invention relates to a method for realizing aerobic exercise by measuring a heart rate in real time and displaying a notification sound or a warning message when a measured heart rate exceeds a set heart rate.

Appropriate exercise reduces the risk of hypokinetic disease and helps maintain and improve motor function such as basic metabolic strength and endurance flexibility. However, the effect of exercise is maximized when exercise and exercise amount appropriate for oneself is performed, and excessive exercise than self exercise function can cause cardiovascular accident with rapid increase of heart rate and blood pressure.

Therefore, it is very important to know the appropriate exercise and exercise amount to suit your physical condition. In other words, it is very important to accurately understand the level of your ability to exercise and determine the intensity of exercise appropriate for you. Relative exercise intensity (% HRmax) using the maximum heart rate, relative exercise intensity using the spare heart rate (% HR Reserve), and relative exercise intensity using the maximum oxygen intake (% VO ₂ max), and exercise intensity (VO ₂ Reserve) using the reserve oxygen uptake.

On the other hand, modern people have obesity, blood vessels and heart disease due to excessive body fat. There is a lot of aerobic exercise in the solution of obesity, blood vessel and heart disease. The characteristic of this aerobic exercise is that it effectively consumes body fat that causes obesity.

The kinds of aerobic exercise include walking exercise which consumes a lot of oxygen, exercise such as jogging and trade mill.

The principle that aerobic exercise burns fat is exercise that can do without breathing, but can do without breathing, and it supplies oxygen to body as much as possible, and improves heart and lung function and has strong vascular organization.

However, at present, there is no way to maintain aerobic exercise and proper exercise intensity can not be maintained.

Currently, some general hospitals and public health centers are using different equipment for aerobic exercise function evaluation, and various aerobic exercise test protocols are used. This exercise function evaluation is very unrealistic because it is time-consuming and costly to use easily by the general public and it is practically unrealistic to perform periodic exercise function evaluation to check the effect of the exercise.

In addition, for example, when an athlete exercises aerobic exercise using a treadmill or other exercise device, the athlete intends to perform an appropriate exercise without any difficulty in his / her physical strength, and by continuing the exercise, I want to. In addition, the athlete wants to record his / her exercise state as a record, and tries to train his / her physical strength based on the recorded exercise history. There may also be a variety of goals for the athlete, such as endurance, cardiopulmonary function, and calorie consumption for obesity treatment.

However, according to the prior art, there is a disadvantage that it is practically impossible to evaluate the aerobic exercise function of the person who wants to exercise aerobic exercise appropriately and effectively, and to know the appropriate aerobic exercise capacity accordingly.

Korean Patent Publication [10-2005-0050782]

In order to achieve the above-mentioned object, the present invention provides a method of calculating an anaerobic threshold (AT) of a user for efficient fat burning and calculating a heart rate at the anaerobic threshold value, There is a purpose.

It is another object of the present invention to provide a method of efficiently burning fat during exercise by checking whether a measured heart rate is within a calculated heart rate by measuring a user's heart rate.

The first embodiment of the present invention provides a method for maintaining aerobic exercise for promoting fat burning in order to achieve the above-mentioned object. The method includes: estimating a maximum oxygen uptake corresponding to a user; An anaerobic threshold value estimation parameter input step of inputting an anaerobic threshold (AT) estimation variable corresponding to a user; An anaerobic threshold value calculation step of calculating an anaerobic threshold value of the user using an anaerobic threshold value estimation equation according to an input variable; And a heart rate calculation step of calculating the heart rate of the user by substituting the calculated anaerobic threshold value into a heart rate regression equation.

Here, the maximum oxygen uptake estimation equation is as follows:

VO ₂ max (ml / kg / min) = 硫 0 + 硫 1 x 1 + +? Pxp +?,?? N (0,? ² )

(Where VO ₂ max (ml / kg / min) is the dependent variable, x 1, ..., xp is the P given dependent variables, β 0, β 1, ..., β p is the unknown regression coefficient, Assume that it follows a normal distribution with variance σ ^2. )

The heart rate corresponding to the oxygen-free threshold of each individual can be derived from the relationship between oxygen intake (VO ₂ (ml / kg / min)) and heart rate (HR). That is,

HR = VO ₂ (ml / kg / min) * A + B

Characterized in that (wherein A is the slope, B is constant, and _{VO 2 (㎖ / ㎏ / min} ) value of anaerobic threshold oxygen consumption at the time).

The independent variables were sex, age, weight, height, body mass index (BMI), bioelectrical impedance analyzer (BIA), resting heart rate, heart rate during maximal lowering, Respiratory gas parameters, respiratory exchange ratio (RER), energy expenditure, waist circumference, waist-to-hip ratio, physical activity data, exercise (RPE) (subjective exercise intensity), daily step counts, exercise frequency (sessions per week), maximum exercise intensity (Wmax: work max), exercise At least one of years of training, a gas exchange threshold value (gas exchange threshold value), a long running record of 1000 m or more, and a skeletal muscle amount.

Meanwhile, in the second embodiment of the present invention, the heart rate measuring terminal measures the heart rate of a user and generates heart rate measurement information as the user's motion starts. Determining whether the measured heart rate of the heart rate measurement information is within the range of the user's heart rate generated by the first embodiment by receiving the heart rate measurement information generated by the communication terminal from the heart rate measurement terminal; And providing notification information when the communication terminal is out of the user's heart rate range as a result of the determination.

Here, the announcement information may include an announcement message on the exercise time and the exercise type.

According to the present invention, by calculating the oxygen-free threshold value of the user and calculating the heart rate at the oxygen-free threshold value point, it is possible to perform the fat burning efficiently when the user exercises continuously at the exercise intensity lower than the anaerobic threshold value.

Another effect of the present invention is to measure the user's heart rate using a heart rate measuring terminal and to check whether the measured heart rate is within the calculated heart rate and output an alarm or a text message so that the user can exercise the fat efficiently It is possible to make it possible to

1 is a block diagram of a system for maintaining aerobic exercise for promoting fat burning according to an embodiment of the present invention.
2 is a circuit block diagram of the heart rate measuring terminal shown in FIG.
3 is a circuit block diagram of the communication terminal shown in Fig.
4 is a flowchart illustrating an aerobic exercise maintenance process for promoting fat burning according to an embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It is to be understood, however, that the invention is not to be limited to the specific embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

The terms first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning in the context of the relevant art and are to be construed as ideal or overly formal in meaning unless explicitly defined in the present application Do not.

Hereinafter, an aerobic exercise maintenance method for promoting fat burning according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of a system for maintaining aerobic exercise for promoting fat burning according to an embodiment of the present invention. Referring to FIG. 1, a system configuration for maintaining aerobic exercise for promoting fat burning includes a heart rate measuring terminal 100 for measuring a heart rate of a user, a heart rate measuring terminal 100 for receiving heart rate measurement information from the heart rate measuring terminal 100, And a communication terminal 120 for monitoring the maintenance of aerobic exercise.

Of course, the heart rate measuring terminal 100 may be attached to or detached from the wearer's body, or may be attached to a work implement such as a trade mill (i.e., a running machine).

The communication terminal 120 may be a smartphone, a personal digital assistant (PDA), a portable media player (PMP), a treadmill capable of measuring heart rate, an aerobic exercise device such as a bicycle ergometer, And the like.

2 is a circuit block diagram of the heart rate measuring terminal 100 shown in FIG. 2, the heart rate measuring terminal 100 includes a heart rate measuring unit 210, an operating unit 220, a microprocessor 200, a display unit 240, a memory 230, a wireless transmitting unit 250, and the like .

The heart rate measuring unit 210 measures the heart rate of the human body as a heart rate measuring sensor. For convenience, the heart rate measuring unit 210 is shown as a component of the heart rate measuring terminal 100, but it is also possible to interlock with the existing heart rate measuring device for convenience.

The operation unit 220 transmits a command to the microprocessor 200 to select the operation of the heart rate measuring terminal 110 by the user. The operation unit 220 may include a general number key, a key button for inputting data, a function selection key button, and the like, and may not include a key button when the display unit 240 is configured as a touch screen.

The memory 230 is a storage device that stores data, measures a user's heart rate, transfers the data to a communication terminal (120 in FIG. 1), or stores a program for operation control. The memory 230 may be a memory provided in the microprocessor, or may be a separate memory. Therefore, a non-volatile memory such as a hard disk drive, a flash memory, an electrically erasable programmable read-only memory (EEPROM), a static random access memory (SRAM), a ferro-electric random access memory (FRAM), a phase change RAM (PRAM) Volatile memory and / or volatile memory such as RAM (Random Access Memory) and DRAM (Dynamic Random Access Memory) may be used.

The display unit 240 displays a menu screen for operating and / or operating the heart rate measuring terminal 100. The display unit 240 may be implemented as an LCD (Liquid Crystal Display), an OLED (Organic Light Emitting Diodes), a touch screen, or the like. Of course, although the display unit 240 is illustrated in the present invention, the display unit 240 may not be configured.

The wireless transmission unit 250 wirelessly transmits the heart rate measurement information processed by the microprocessor 200 and transmits the wireless heart rate measurement information to the communication terminal 120 (120). The communication technology between the heart rate measuring terminal (100 in FIG. 1) and the communication terminal (120 in FIG. 1) uses general RF (Radio Frequency), Bluetooth communication, infrared communication, and short range wireless communication technology. Of course, the present invention is not limited to wireless communication technology, and it is also possible to use wired communication technology.

3 is a circuit block diagram of the communication terminal 120 shown in Fig. 3, the communication terminal 120 includes an anaerobic threshold value calculation unit 330 for calculating a user's anaerobic threshold value; A heart rate calculation unit 350 for calculating a user's heart rate using the calculated anaerobic threshold; A communication circuit unit (370) for communicating with the wireless communication unit (250 in Fig. 2) to receive heart rate measurement information; A control unit 300 for determining whether the user's heart rate range is out of a range calculated by using the heart rate measurement information transmitted through the communication circuit unit 370 and providing a warning sound and / or a message; And a display unit 320 for displaying a warning sound and / or a message according to a command of the controller 300 or a voice converting unit 360 for outputting the alarm sound and / or message.

Of course, an input unit 310 having a user command and / or a button for selection, an anaerobic threshold value is calculated, a heart rate range of the user is calculated at the anaerobic threshold value, And a storage unit 340 for storing an aerobic exercise maintenance program and data for fat burning to implement a comparison algorithm.

The storage unit 340 may be a memory provided in the microprocessor configured in the controller 300, or may be a separate memory. Therefore, a non-volatile memory such as a hard disk drive, a flash memory, an electrically erasable programmable read-only memory (EEPROM), a static random access memory (SRAM), a ferro-electric random access memory (FRAM), a phase change RAM (PRAM) Volatile memory and / or volatile memory such as RAM (Random Access Memory) and DRAM (Dynamic Random Access Memory) may be used.

Aerobic exercise maintenance program, data, and the like are transmitted to the communication terminal 120 in the form of an app using wireless communication technology. Such communication technologies include WiBro, Wireless Internet Platform for Interoperability (WiPi), Bluetooth, Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Global System for Mobile Communications ), Dedicated short-range communications (DSRC), and Infrared Data Association (IrDA).

The voice conversion unit 360 converts the analog voice of the user into a digital signal or converts the digital signal into an analog signal.

The display unit 320 may include a liquid crystal display (LCD), an organic light emitting diode (OLED), a touch screen, or the like. In the case of a touch screen, the input unit 310 may be omitted.

The anaerobic threshold value calculation unit 330 performs a function of calculating an anaerobic threshold value (or a point). In other words, when the user inputs the anaerobic threshold value using the input unit 310, the anaerobic threshold value calculation unit 330 calculates the anaerobic threshold value of the user. These anaerobic threshold values include gender, age, height, weight, body mass index (BMI), fat mass and 1,200 M running history.

Anaerobic threshold (AT: Anaerobic Threshold) is a time greater than the VCO ₂ or VO ₂ indicates the value of the VO ₂ at that time. The AT timing is a boundary that changes from aerobic exercise to anaerobic exercise. At this time, in order to burn lots of fat, aerobic exercise should be done. Therefore, in order to perform aerobic exercise, exercise should be continued with intensity before that point.

Therefore, in the VO ₂ and VCO ₂ graph changes, as the movement is the point where the VCO ₂ beyond the VO ₂ and the anaerobic threshold (AT) time using the value of the VO ₂ obtained at this point the heart rate range of the user.

The method for maintaining aerobic exercise for promoting fat burning includes estimating a maximum oxygen uptake corresponding to a user; An anaerobic threshold value estimation parameter input step of inputting an anaerobic threshold value variable corresponding to a user; An anaerobic threshold value calculation step of calculating an anaerobic threshold value of the user using an anaerobic threshold value estimation equation according to an input variable; And a heart rate calculating step of calculating the heart rate of the user by substituting the calculated anaerobic threshold value into a heart rate regression equation.

Here, the maximum oxygen uptake estimation equation is as follows:

VO ₂ max (ml / kg / min) = 硫 0 + 硫 1 x 1 + +? Pxp +?,?? N (0,? ² )

(Where VO ₂ max (ml / kg / min) is the dependent variable, x 1, ..., xp is the P given dependent variables, β 0, β 1, ..., β p is the unknown regression coefficient, Assume that it follows a normal distribution with variance σ ^2. )

The heart rate corresponding to the oxygen-free threshold of each individual can be derived from the relationship between oxygen intake (VO ₂ (ml / kg / min)) and heart rate (HR). That is,

HR = VO ₂ (ml / kg / min) * A + B (where A is the slope and B is the constant).

Here, the VO ₂ (ml / kg / min) value is an oxygen consumption amount at the time of the anaerobic threshold value.

The independent variables were sex, age, weight, height, body mass index (BMI), bioelectrical impedance analyzer (BIA), resting heart rate, heart rate during maximal lowering, Respiratory gas parameters, respiratory exchange ratio (RER), energy expenditure, waist circumference, waist-to-hip ratio, physical activity data, exercise (RPE) (subjective exercise intensity), daily step counts, exercise frequency (sessions per week), maximum exercise intensity (Wmax: work max), exercise At least one of years of training, a gas exchange threshold value (gas exchange threshold value), a long running record of 1000 m or more, and a skeletal muscle amount.

A sample of 339 men and women (267 male, 72 female) who are physically and mentally healthy are shown in the following table.

1) Estimation formula using basic body information:

[Equation 1]

Here,? 1 is -0.129,? 2 is 0.171,? 3 is -0.395, and the constant constant is 17.815. The process of deriving such a numerical value is calculated according to the following Tables 1 to 17.

2) Estimation formula using basic physical information + health checkup data:

&Quot; (2) "

Here,? 1 is -0.658,? 2 is 0.547,? 3 is -0.406,? 4 is -0.123,? 5 is 1.661, and the constant constant is -46.014. Bodyfat represents body fat and BMI represents body mass index as body mass index.

3) Estimation formula using 1,200m running record:

&Quot; (3) "

Here,? 1 is -0.016 and the constant constant is 37.125.

4) Estimation formula using basic physical information + 1,200m running record:

&Quot; (4) "

Here,? 1 is -0.139,? 2 is 0.110,? 3 is -0.670,? 4 is -0.12, and the constant constant is 39.834.

According to the case of female college students, the estimation of the anxiety threshold is subdivided as follows.

1) Estimation formula using basic body information:

&Quot; (5) "

Here,? 1 is -0.087,? 2 is -0.070,? 3 is -0.305, and the constant constant is 46.735. The process of deriving such a numerical value is calculated according to the following Tables 1 to 17.

2) Estimation formula using basic physical information + health checkup data:

&Quot; (6) "

Here,? 1 is -2.408,? 2 is 1.882,? 3 is -1.090,? 4 is -0.031,? 5 is 5.758, and the constant constant is -246.323.

3) Estimation formula using 1,200m running record:

&Quot; (7) "

Here,? 1 is -0.021, and the constant constant is 32.736.

4) Estimation formula using basic physical information + 1,200m running record:

&Quot; (8) "

Here,? 1 is -0.038,? 2 is 0.220,? 3 is -0.220,? 4 is -0.025, and the constant constant is 5.492.

The above Equations 1 to 8 can be derived using various data, a SPSS (Standard Statistics Software) program and a multiple regression analysis method.

For example, the characteristics of the subject are shown in Table 1 when the basic data is generated by sampling 339 persons (267 male, 72 female) in 20 male and female physically and mentally healthy persons.

variable man Woman Mean SD Mean SD Age (yrs) 20.79 1.265 20.54 .983 Height (cm) 173.997 5.364 161.914 4.542 Weight (kg) 69.177 12.884 52.600 5.728 % BodyFat 17.212 8.595 25.162 6.027 Body Mass Index (kg / m ² ) 22.950 5.102 20.085 2.128

Based on Table 1, the anaerobic threshold estimation equation of male college students will be explained first. This anaerobic threshold estimation equation is based on an estimation formula using basic body information, an estimation formula using basic physical information + health examination data, an estimation formula using 1,200 m running record, and an estimation formula using basic physical information + 1,200 m running record . The table below shows the following.

One). Estimation formulas using basic body information are shown in Tables 2 and 3 below.

model Non-standardization factor Standardization factor p Collinearity statistic Standard error beta Tolerance limit VIF Whole model Constant 15.941 17.815 .265 Weight .043 -.129 -205 .003 .807 1.239 Height .088 .171 .131 .053 .810 1.235 Age .337 -.395 -071 .243 .997 1.003

model R R ² SEE F p Whole model .205 .042 6.912 3.806 .011

Here, R is a multiple correlation coefficient, R2 is a variation, and SEE is a standard error of estimation.

2). Estimation formulas using basic physical information + health checkup data are shown in Tables 4 and 5 below.

model Non-standardization factor Standardization factor p Collinearity statistic Standard error beta Tolerance limit VIF Whole model Constant 101.456 -46.014 .651 Weight .702 -.658 -1.324 .350 .004 226.100 Height .568 .547 .481 .338 .035 28.401 Age .480 -406 -0.080 .399 .991 1.009 % BodyFat .140 -.123 -090 .382 .832 1.202 BMI 2.214 1.661 .979 .455 .005 193.251

model R R ² SEE F p Whole model .305 .093 6.069 2.112 .070

3). The estimation formula using the 1,200 m running record is shown in Tables 6 and 7 below.

model Non-standardization factor Standardization factor p Collinearity statistic Standard error beta Tolerance limit VIF Whole model Constant 3.512 37.125 .000 1,200m (sec) .009 -016 -.134 .083 1,000 1,000

model R R ² SEE F P Whole model .134 .018 6.797 3.049 .083

4). Estimation formulas using basic physical information + 1,200m running record are shown in Tables 8 and 9 below.

model Non-standardization factor Standardization factor p Collinearity statistic Standard error beta Tolerance limit VIF Whole model Constant 21.303 39.834 .063 Weight .049 -.139 -.248 .005 .754 1.327 Height .113 .110 .084 .329 .775 1.290 Age .399 -.670 -.127 .095 .990 1.010 1,200m (sec) .009 -0.12 -0.99 .204 .946 1.057

model R R ² SEE F p Whole model .291 .085 6.635 3.749 .006

Next, the anaerobic threshold value estimation equation of female college students will be described first. This anaerobic threshold estimation equation is based on an estimation formula using basic body information, an estimation formula using basic physical information + health examination data, an estimation formula using 1,200 m running record, and an estimation formula using basic physical information + 1,200 m running record . The table below shows the following.

One). Estimation formulas using basic body information are shown in Table 10 and Table 11 below.

model Non-standardization factor Standardization factor p Collinearity statistic Standard error beta Tolerance limit VIF Whole model Constant 34.889 46.735 .185 Weight .154 -087 -071 .576 .921 1.086 Height .191 -070 -046 .714 .934 1.071 Age .857 -305 -044 .723 .985 1.015

model R R ² SEE F p Whole model .101 .010 7.003 .228 .877

Here, R is a multiple correlation coefficient, R2 is a variation, and SEE is a standard error of estimation.

2). Estimation formulas using basic physical information + health checkup data are shown in Table 12 and Table 13 below.

model Non-standardization factor Standardization factor p Collinearity statistic Standard error beta Tolerance limit VIF Whole model Constant 371.409 -246.323 .515 Weight 3.501 -2.408 -1.823 .500 .007 150.066 Height 2.267 1.882 1.215 .417 .027 36.494 Age 1.561 -1.090 -.161 .494 .880 1.136 % BodyFat .349 -.031 -.024 .929 .671 1.491 BMI 9.044 5.758 1.653 .532 .007 142.724

model R R ² SEE F P Whole model .338 .114 7.739 .490 .779

3). The estimation formula using the 1,200 m running record is shown in Tables 14 and 15 below.

model Non-standardization factor Standardization factor p Collinearity statistic Standard error beta Tolerance limit VIF Whole model Constant 8.593 32.736 .000 1,200m (sec) .019 -.021 -.169 .291 1,000 1,000

model R R ² SEE F p Whole model .169 .029 6.591 1.147 .291

4). The estimation formula using the basic physical information + 1,200 m running record is shown in the following Tables 16 and 17.

model Non-standardization factor Standardization factor p Collinearity statistic Standard error beta Tolerance limit VIF Whole model Constant 43.349 5.492 .900 Weight .222 -038 -.030 .864 .889 1.125 Height .234 .220 .163 .353 .870 1.149 Age 1.186 -.220 -.031 .854 .953 1.049 1,200m (sec) .020 -.025 -.202 .232 .928 1.078

model R R ² SEE F p Whole model .230 .053 6.774 .502 .734

3, the heart rate calculation unit 350 calculates the heart rate range of the user using the point of the anaerobic threshold value calculated by the anaerobic threshold value calculation unit 330. FIG. Further, the heart rate range corresponding to the user's anaerobic threshold value is calculated using the anaerobic threshold value estimation equation (i.e., Equation (1)). The heart rate regression equation is as follows.

&Quot; (9) "

HR = VO ₂ (ml / kg / min) * A + B (where A is the slope and B is the constant)

Here, VO ₂ (ml / kg / min) is the oxygen consumption at the time of the anaerobic threshold.

4 is a flowchart illustrating an aerobic exercise maintenance process for promoting fat burning according to an embodiment of the present invention. Referring to FIG. 4, FIG. 4 shows a preparatory process and an exercise execution process before starting the exercise.

1) Preparing to start exercise

In the preparation for starting the exercise, a process of calculating the user's anaerobic threshold value and the heart rate range is performed using the anaerobic threshold value estimation parameter, which is information on the user.

To this end, the user inputs an anaerobic threshold value variable corresponding to his information in the communication terminal (120 in FIG. 1) (step S410). In addition, various anaerobic threshold values are input to the communication terminal 120, which can estimate the anaerobic threshold value. The anaerobic threshold values were determined by gender, age, weight, height, body mass index (BMI), bioelectrical impedance analyzer (BIA), resting heart rate, (RER), energy expenditure, waist circumference, waist-to-hip ratio, physical activity data, and physical activity data during exercise. (RPE) (subjective exercise intensity), daily step counts, exercise frequency (sessions per week), maximum exercise intensity (Wmax: work max) , Years of training, a gas exchange threshold value (threshold value), a long running record of 1000 m or more, and a skeletal muscle amount.

The anaerobic threshold value of the user is calculated using the anaerobic threshold value estimation regression equation according to the inputted anaerobic threshold value variable (step S420), and the heart rate at the anaerobic threshold value point is calculated according to the relation between the anaerobic threshold value and the heart rate The range is calculated (steps S430 and S440).

This heart rate range can be displayed through the display portion (320 in FIG. 3) or the announcement can be outputted through the voice conversion portion (360 in FIG. 3). This heart rate range is a reference value of the user's aerobic exercise intensity.

2) Exercise process

As the motion of the user is started, the communication terminal (120 of FIG. 1) enters the standby mode state of receiving the heart rate measurement information measuring the user's heart rate from the heart rate measuring terminal (100 of FIG. 1) (step S450).

If the heart rate range is generated by steps S410 to S440, the communication terminal 120 is informed that the user is ready to start the exercise (step S461). Of course, the manner in which the user informs the communication terminal 120 may be by selecting a specific button provided in the input unit (310 of FIG. 3) of the communication terminal 120 or by voice. Alternatively, if the user's heart rate range is determined, it is possible to automatically enter the standby mode after a predetermined time.

The communication terminal (120 in FIG. 1) receives the heart rate measurement information that measures the user's heart rate from the heart rate measuring terminal 100 and outputs the calculated heart rate of the user calculated through steps S410 to S440 (Step S460). Of course, there is a process in which the communication terminal 120 receives heart rate measurement information from the heart rate measuring terminal 100 in real time.

If it is determined in step S460 that the measured heart rate of the heart rate measurement information is out of the user's calculated heart rate range, the communication terminal 120 provides notification information (step S470).

 The notification information may be a warning sound or a guidance message, and the guidance message may be a warning message such as an aerobic exercise time (for example, an aerobic exercise time, a suitable time for aerobic exercise in the future), an aerobic exercise kind (for example, ). ≪ / RTI >

If it is determined in step S460 that the measured heart rate of the heart rate measurement information does not deviate from the heart rate range of the user, step S450 is performed.

100: heart rate measuring terminal 120: communication terminal
200: microprocessor 210: heart rate measuring unit
220: Operation part 230: Memory
240: display unit 250: wireless communication unit
300: control unit 310: input unit
320: display unit 330: anaerobic threshold value calculation unit
340: storage unit 350: heart rate calculation unit
360: voice conversion unit 370: communication circuit unit

Claims (5)

Estimating a maximum oxygen uptake based on measured heart rate information from a heart rate measuring terminal of the communication terminal;
An anaerobic threshold value estimation parameter input step of inputting an anaerobic threshold value estimation parameter to the communication terminal;
An anaerobic threshold value calculation step of calculating an anaerobic threshold value based on the anaerobic threshold value variable input to the communication terminal; And
A heart rate calculating step of calculating a heart rate based on the anaerobic threshold value calculated by the communication terminal;
/ RTI >
The independent variables that were estimated as anoxic threshold were gender, age, weight, height, body mass index (BMI), resistance measured by bioelectrical impedance analyzer (BIA) (RER), energy expenditure, waist-to-hip ratio, waist-to-hip ratio, body mass index There were no differences in physical activity data, Rating of Perceived Exertion (RPE), daily step counts, exercise frequency (sessions per week) At least one selected from the group consisting of at least one of a work intensity (Wmax), years of training, a gas exchange threshold (gas exchange threshold), a long running record of 1000 m or more, and a skeletal muscle amount Features for promoting fat burning How to maintain small movements.
The method according to claim 1,
The maximum oxygen uptake estimation equation is as follows:
VO ₂ max (ml / kg / min) = 硫 0 + 硫 1 x 1 + +? Pxp +?,?? N (0,? ² )
(Where _{VO 2 max (ml / kg /} min) is the dependent variable, x1, ..., xp is of a given argument P, β0, β1, ..., βp is the expected value as an unknown coefficient, ε is the error term 0, Assume that it follows a normal distribution with variance σ ^2. )
From the relationship between oxygen uptake (VO ₂ (ml / kg / min)) and heart rate (HR), the heart rate corresponding to the time of anaerobic threshold of each individual can be derived,
HR = VO ₂ (ml / kg / min) * A + B
How to maintain aerobic exercise for promoting fat burning, characterized in that (wherein A is the slope, B is constant, and _{VO 2 (㎖ / ㎏ / min} ) value of anaerobic threshold oxygen consumption at the time).
delete Generating heart rate measurement information by measuring a heart rate of a user as the user's exercise starts;
The communication terminal receives the generated heart rate measurement information from the heart rate measurement terminal and determines whether the measured heart rate of the heart rate measurement information falls within the calculated heart rate range generated by any one of items 1 to 2 step; And
If it is determined that the communication terminal is out of the user's heart rate range,
Wherein the aerobic exercise maintenance method comprises the steps of:
5. The method of claim 4,
Wherein the notification information includes a guide message for exercise time and type of exercise.

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